Spatiotemporal Autoregressive Models of Neighborhood Effects
Kelley Pace,
Ronald Barry,
John M. Clapp and
Mauricio Rodriquez
The Journal of Real Estate Finance and Economics, 1998, vol. 17, issue 1, 15-33
Abstract:
Using 70,822 observations on housing prices from 1969 to 1991 from Fairfax County Virginia, this article demonstrates the substantial benefits obtained by modeling the spatial as well as the temporal dependence of the data. Specifically, the spatiotemporal autoregression with twelve variables reduced median absolute error by 37.35 percent relative to an indicator-based model with twenty-six variables. One-step ahead forecasts also document the improved performance of the proposed spatiotemporal model. In addition, the article illustrates techniques for rapidly computing the estimates and shows how to compute indices for any location. Copyright 1998 by Kluwer Academic Publishers
Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (78)
Downloads: (external link)
http://journals.kluweronline.com/issn/0895-5638/contents link to full text (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jrefec:v:17:y:1998:i:1:p:15-33
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/11146/PS2
Access Statistics for this article
The Journal of Real Estate Finance and Economics is currently edited by Steven R. Grenadier, James B. Kau and C.F. Sirmans
More articles in The Journal of Real Estate Finance and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().